Viral testing remains the backbone of an effective pandemic response until vaccines are widely available. Testing helps us understand the size and nature of localized outbreaks. Paired with contact tracing and supported isolation, robust viral testing gives communities the control they need to safely open, provided they also require best-practice measures such as distancing, mask-wearing and hand washing.
HGHI modeling provides testing target data for states and the nation overall to guide how much testing capacity we need to build and apply to curb the spread of COVID-19.
This page provides an overview of our testing data work.
Make sure you also read Modeling Uncertainty: How to make sense of changing predictions
Partnering with National Public Radio, we published an updated version of our model of projected state testing targets on May 7, estimating how many tests each state should be performing by May 15, 2020.
Partnering with STAT, we published our model of projected testing targets for states on April 27, estimating how many tests each state should be performing by May 1, 2020.
Partnering with The New York Times, we published a first projection of a nationwide testing target on April 18, estimating how many tests the entire nation should be performing by May 1, 2020.
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